{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7, 1, 2, 2, 5, 2, 1],\n",
       "       [1, 2, 7, 3, 2, 7, 7],\n",
       "       [4, 8, 8, 5, 6, 2, 6],\n",
       "       [3, 7, 6, 9, 1, 6, 2],\n",
       "       [1, 7, 9, 3, 4, 7, 1]])"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "votes = np.random.randint(1, 10, (5, 7))\n",
    "votes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.4, 4.2, 5.8, 4.8, 4.4])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(np.sum(votes, axis=1)-np.max(votes, axis=1)-np.min(votes, axis=1))/5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "11f1dc213e07634baa4c5c321dec03c05dafae643c50f20e6d1a492290c05dc2"
  },
  "kernelspec": {
   "display_name": "Python 3.9.7 64-bit",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
